andyW296

andyW296's Stars

• PennyLaneAI/pennylane

  PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.

  Language:Python2.4k471.3k611

• Qiskit/qiskit-tutorials

  A collection of Jupyter notebooks showing how to use the Qiskit SDK

  Language:Jupyter Notebook2.3k1284051.3k

• quantumlib/OpenFermion

  The electronic structure package for quantum computers.

  Language:Python1.5k112279378

• qiskit-community/qiskit-machine-learning

  Quantum Machine Learning

  Language:Python70323279327

• PennyLaneAI/qml

  Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.

  Language:Python55922122188

• tencent-quantum-lab/tensorcircuit

  Tensor network based quantum software framework for the NISQ era

  Language:Python28376579

• qulacs/quantum-native-dojo

  量子コンピュータ初学者のための自習教材

  Language:Jupyter Notebook20381154

• qiskit-community/ibm-quantum-challenge-2021

  For IBM Quantum Challenge 2021 (May 20 - 26)

  Language:Jupyter Notebook15793184

• ranshiju/TN_tutorial

  Tutorial for TN algorithms

  Language:Jupyter Notebook692029

• gzzyyxh/Quafu

  A small SoC with a pipeline 32-bit RISC-V CPU.

  Language:Verilog62102

• quantumlib/OpenFermion-FQE

  The Fermionic Quantum Emulator (FQE) is a fermionic simulation research tool specializing in quantum circuits emulating fermion dynamics.

  Language:Python62124425

• JQub/QuantumFlow_Tutorial

  A step-by-step tutorial of QuantumFlow, using the MNIST sub-dataset {3,6} and the 16-2-2 neural network as an example.

  Language:Jupyter Notebook574114

• GTorlai/NeuralNetworks-for-Quantum

  Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"

  Language:Jupyter Notebook506022

• bagmk/Quantum_Machine_Learning_Express

  This project is one of the Qiskit mentorship programs to replicate two papers arXiv:1905.10876 and arXiv:2003.09887 using the Qiskit environment. We evaluate the parameterized quantum circuit, reproduce the expressibility and entangling capability of the 19 circuits, and the classification accuracy.

  Language:Jupyter Notebook4631520

• ZhuGroup-Yale/fcdmft

  Ab initio full cell dynamical mean-field theory (DMFT) and GW+DMFT for solids

  Language:Python34014

• Hanrui-Wang/quantum-computer-systems-lectures

  Language:Python29307

• henrik-dreyer/MPS-in-Qiskit

  Preparing Matrix Product State in Qiskit

  Language:Python27216

• dralgroup/MLinQCbook22

  24118

• SpM-lab/sparse-ir

  On-the-fly computation of IR basis functions

  Language:Python24965

• alexander-soare/framework-agnostic-vqe-tutorial

  A brief introduction to VQE with framework agnostic code

  Language:Jupyter Notebook20107

• kwanheng/Genshin-Impact

  原神-私服

  113

• tyw66/SPSA-algorithm

  随机扰动近似算法 Stochastic perturbation approximation algorith—— python实现

  Language:Python11102

• jamesdborin/qmps_syc

  This repository holds the code to generate results for the work "Simulating groundstate and dynamical quantum phase transitions on a superconducting quantum computer"

  Language:Jupyter Notebook7302

• overshiki/ansatz-based-imaginary-time-evolution

  Ansatz-based imaginary time evolution method for quantum computing, implemented using mindquantum

  Language:Jupyter Notebook6201

• gkc1000/potato

  Language:Python5617

• ScQ-Cloud/quafu-runtime

  Language:Python4323

• WeiguoMa/Quantum-C-EM

  This repostory focus on quantum computing and error mitigation with tensornetwork techniques.

  Language:Python33

• yanwu-gu/noise-resilient-phase-estimation

  A noise resilient phase estimation method by using randomized compiling

  Language:Jupyter Notebook31

• mariomotta/quantum_database

  Language:Python10

• TheMathDoctor/haar_distribution

  Include a Haar distribution class that can sample approximately uniform unitary matrices of a given dimension. A distribution function is also included so that you can evaluate the distribution at a certain parameter. A module "unitary_stuffs" with a parametrization of unitaries is also available.

  Language:Python1